{"id":26321251,"url":"https://github.com/asherjingkongchen/deep-learn-assign-1","last_synced_at":"2026-05-10T10:21:41.997Z","repository":{"id":259267689,"uuid":"877402180","full_name":"AsherJingkongChen/deep-learn-assign-1","owner":"AsherJingkongChen","description":"Deep Learning Assignment about: Least Squares, Regression, Logistic, Gradient Descent, Bias-Variance Decomposition, PCA.","archived":false,"fork":false,"pushed_at":"2024-10-28T08:54:24.000Z","size":4592,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-10-28T10:59:11.238Z","etag":null,"topics":["bias-variance","deep-learning","gradient-descent","least-squares","logisitic-regression","matplotlib","practice","primary-component-analysis","python","pytorch","regression-models"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/AsherJingkongChen.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-10-23T15:31:15.000Z","updated_at":"2024-10-28T08:54:28.000Z","dependencies_parsed_at":"2024-10-24T01:30:01.234Z","dependency_job_id":"c4369b16-018c-447f-acc6-8a0a7e317025","html_url":"https://github.com/AsherJingkongChen/deep-learn-assign-1","commit_stats":null,"previous_names":["asherjingkongchen/deep-learn-assign-1"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AsherJingkongChen%2Fdeep-learn-assign-1","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AsherJingkongChen%2Fdeep-learn-assign-1/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AsherJingkongChen%2Fdeep-learn-assign-1/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AsherJingkongChen%2Fdeep-learn-assign-1/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AsherJingkongChen","download_url":"https://codeload.github.com/AsherJingkongChen/deep-learn-assign-1/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243754071,"owners_count":20342543,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["bias-variance","deep-learning","gradient-descent","least-squares","logisitic-regression","matplotlib","practice","primary-component-analysis","python","pytorch","regression-models"],"created_at":"2025-03-15T16:16:46.473Z","updated_at":"2026-05-10T10:21:36.952Z","avatar_url":"https://github.com/AsherJingkongChen.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Deep Learning Assignment 1\n\nIn this assignment, I created interactive Jupyter notebooks using [PyTorch](https://pytorch.org/) to build mathematical models.\n\nThe notebooks offer hands-on experience with [regression models](https://en.wikipedia.org/wiki/Regression_analysis), allowing students to explore key concepts like model training, optimization, and visualization using [Matplotlib](https://matplotlib.org/) to better understand deep learning in action.\n\n## Get Started\n\nYou can open the main notebook file [`main.ipynb`](main.ipynb) or [`main.pdf`](main.pdf) using your favorite viewer.\n\nPlease check out the previous results or run the notebook to reproduce the results.\n\n## License\n\n[MIT](LICENSE) © Asher Jingkong Chen\n\n\u003e [!WARNING]\n\u003e The data files named in `*.mat` are provided by the course instructor and are not licensed or owned by Asher Jingkong Chen.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fasherjingkongchen%2Fdeep-learn-assign-1","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fasherjingkongchen%2Fdeep-learn-assign-1","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fasherjingkongchen%2Fdeep-learn-assign-1/lists"}